kate crawford google scholar

Data and its (dis)contents: A survey of dataset ... Abstract More and more scholarly attention is being paid to the challenges of governing artificial intelligence and emergent technologies. Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford. 1996. Prior to that I did a postdoc at Microsoft Research, New York City in the FATE (Fairness Transparency Accountability and Ethics in AI) group, where I studied algorithmic bias and the ethical implications underlying projects aiming to gain insights from data (see this New York Times article for an example of my work). For personal use. Today affect-recognition tools can be found in national-security systems and at airports, in education . Kate Crawford. Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability. Big data's disparate impact. Importance The immune response in children with SARS-CoV-2 infection is not well understood. Google Scholar. View author publications. Design Participants were part of a household cohort study of SARS-CoV-2 infection. Measurement and Fairness | Proceedings of the 2021 ACM ... 2017. Bramley, 2009. Google Scholar. HBR Blog Network 1. ‪Kate Crawford‬ - ‪Google Scholar‬ Books. Microgravity Impact Bone Cell Signaling Response and Cartilage ECM Synthesis. It provides an overview of key concepts and definitions relevant for the study of inequalities and Artificial Intelligence. Kate Crawford is a leading scholar of the social and political implications of artificial intelligence. The accelerated loss of bone and muscle mass as a result of microgravity has been well documented over the decades (Burger and Klein-Nulend, 1998; Harris et al., 2000; Fitts et al., 2001).Osteocytes and osteoblasts are known mechanosensitive bone cells responsible for maintaining the balance of bone absorption and . While the speed of the Associated Press hack crash event and the . 2014. Modeling the Impact of Microgravity at the Cellular Level ... Kate Crawford is a Principal Researcher at Microsoft Research, a Visiting Professor at the Massachusetts Institute of Technology (MIT) Center for Civic Media, and a Senior Fellow at New York University's (NYU) Information Law Institute. One of the conceptual challenges in healthcare literature is that compassion is often confused with sympathy and empathy. Learn more. Commun. Measurement and Fairness | Proceedings of the 2021 ACM ... Merged citations. About Kate Crawford is a leading scholar of the social implications of artificial intelligence. A smarter phone number. Google Photos is the home for all your photos and videos, automatically organized and easy to share. 3147--3156. Unlike swarms or herds, human social networks have diverse topologies, serving diverse modes of collective cognition and behaviour. A Voice number works on smartphones and the web so you can place and receive calls from anywhere. Some countries have been more successful than others at dealing with the COVID-19 pandemic. 2016. Soc., 15 (2012), pp. The hidden biases in big data. Some countries have been more successful than others at dealing with the COVID-19 pandemic. Linking T cell receptor sequence to transcriptional ... Google Voice. Kate Crawford - Washington, District of Columbia, United ... Artificial Intelligence's White Guy Problem - Semantic Scholar Lessons from nearly 20 years of precision agriculture research, development and adoption as a guide to its appropriate applications . . International Journal of Qualitative Studies in Education 28 (1), 1-20. , 2015. See the complete profile on LinkedIn and discover Kate's . California Law Review. Find local businesses, view maps and get driving directions in Google Maps. Her work focuses on understanding large-scale data systems, machine learning and AI in the wider contexts of history, politics, labor, and the environment. Here, we review research that combines network structure with psychological and neural . Kate Crawford is a leading scholar of the social implications of AI. Special Interest Group for Computing, Information and Society (SIGCIS) (2017). Abstract. Inf. CD8 + T cells in chronic viral infections like HIV develop functional defects such as loss of IL-2 secretion and decreased proliferative potential that are collectively termed exhaustion 1.Exhausted T cells express increased levels of multiple inhibitory receptors, such as Programmed Death 1 (PD-1) 2,3 that contribute to impaired virus-specific T cell function. She is a Research Professor of Communication and STS at USC Annenberg, a Senior . Dr. Kate Crawford is a leading scholar of the social and political implications of artificial intelligence. AD Rowe, J Fitness, LN Wood. European journal of clinical pharmacology 70 (5), 575-581. , 2014. Barocas S, Selbst AD. She is a Research Professor at USC Annenberg, a Senior . According to some prominent voices in the tech world, artificial intelligence presents a looming existential threat to humanity: Warnings by luminaries like Elon Musk and Nick Bostrom about "the singularity" - when machines become smarter than humans - have attracted millions of dollars and spawned a multitude of conferences. Inf. The ways in which such datasets are collected, constructed, and shared play a significant role in shaping the quality and impact of this research. In . Kate is a co-founder of the AI Now Initiative at NYU and author of the Atlas of AI, coming April 2021 on Yale University Press.She walks us through the extractive nature of AI, talks about her collaborations with Vladan Joler (recently . 2016;104(3): 671-732. Crawford, K. and Crawford, S. (2001) School's Out. Sustainable technologies are vital due to the efforts of researchers and investors who have allocated significant amounts of money and time to their development. View author publications. Time to regulate AI that interprets human emotions. 2019. They are two of many experts who are working to ensure . Article Download PDF View Record in Scopus Google Scholar. Information and Society (SIGCIS) (2017). M Sameki, M Gentil, KK Mays, L Guo, M Betke. Information and Society (SIGCIS) (2017). First collection of essays on cinematic motherhood.As celebrities sporting "baby bumps," politicians, Olympic athletes, and talk show guests, mothers are ubiquitous throughout U.S. media and popular culture. Google Scholar Cross Ref; Solon Barocas, Kate Crawford, Aaron Shapiro, and Hanna Wallach. Google Scholar Eslami, M, Rickman, A, Vaccaro, K. ( 2015 ) "I always assumed that I wasn't really that close to [her]": reasoning about invisible algorithms in the news feed . Critical questions for big data. Multi-modal single-cell technologies capable of simultaneously assaying gene expression and surface phenotype across large numbers of immune cells have described extensive heterogeneity within these complex populations, in healthy and diseased states. In . The problem with bias: from allocative to representational harms in machine learning. 2016. Kate Crawford; Chapter. [18] . I problematize discourses of "human-centered AI" that prioritize human control over nonhuman intelligences as a . R. Bramley. The epidemiology, healthcare and societal burden and costs of asthma in the UK and its member nations: analyses of standalone and linked national databases. Her work has focused on understanding machine learning and AI in the wider contexts of history, politics, labor, and the environment. RA Payne, AJ Avery, M Duerden, CL Saunders, CR Simpson, GA Abel. Datasheets for datasets 505, 0. When we explore the different policy approaches adopted as well as the underlying socio-economic factors, we note an interesting set of correlations: countries led by women leaders have fared significantly better than those led by men on a wide range of dimensions concerning the global health crisis. She is a research professor at USC Annenberg, a senior principal researcher at Microsoft Research, and the inaugural chair of AI and Justice at the École Normale Supérieure in Paris. Authors. Kate Crawford. This chapter summarizes contributions made by Ricardo Baeza-Yates, Francesco Bonchi, Kate Crawford, Laurence Devillers and Eric Salobir in the session chaired by Françoise Fogelman-Soulié on AI & Human values at the Global Forum on AI for Humanity. So read a tweet sent from a hacked Associated Press Twitter account @AP, which affected financial markets, wiping out $136.5 billion of the Standard & Poor's 500 Index's value. Trevor Paglen. See the complete profile on LinkedIn and discover Kate's . arXiv preprint arXiv:1608.08953. , 2016. University student and lecturer perceptions of positive emotions in learning. 231 Downloads; . 2017. 662-679. Trevor Paglen. We estimated the relationship between home care supply and . 2019. Email: [email protected] Authors. Introductory Paragraph. You can . The following articles are merged in Scholar. Her work focuses on understanding large-scale data systems, machine learning and AI in the wider contexts of history, politics, labor, and the environment. The secondary-tertiary interface. Most of the focus remains on questions of how to preserve the human-centeredness of increasingly advancing machine-driven technologies. This is particularly true for gene editing, where exogenous DNA can be used as a template to introduce precise changes to the sequence of a cell's genome. Mike Ananny and Kate Crawford. Kate Crawford. Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability. M Sameki, D Gurari, M Betke. Bramley, 2009. Verified email at ed.ac.uk - Homepage. Nowadays, 3D printing has been accepted by the main industry players, since its first establishment almost 30 years ago. Kate M. Miltner. Abstract. Dr. Kate Crawford is a leading scholar of the social and political implications of artificial intelligence. Android iOS Web. Daberkow . Kate has 4 jobs listed on their profile. You can also search for this author in PubMed Google Scholar. BCL Rev. Lessons from nearly 20 years of precision agriculture research, development and adoption as a guide to its appropriate applications . 2020. Learning and instruction 4 (4), 331-345. , 1994. Kate Crawford, Microsoft Research New York City, 641 Avenue of Americas, New York, NY 10011, USA. Weekly nasopharyngeal/throat swabs and blood samples were . 2014;55: 93-128. Special Interest Group for Computing. 201 - 202 . In: WikiSym '11 / Proceedings of the 7th International Symposium on Wikis and Open Collaboration , Mountain View, CA , 3-5 October , pp. Their combined citations are counted only for the first article. Over her 20-year career, her work has focused on understanding large-scale data systems, machine learning and AI in the wider contexts of history, politics, labor, and the environment. Crawford K, Schultz J. Her work focuses on understanding large-scale data systems in the wider contexts of history, politics, labor, and the environment. However, to have an influence on the next set of sustainable global development goals, we need to understand the causal relationships between social determinants such as poverty, inequality, lack of education and unemployment; thereby clarifying which aspects of poverty are the key drivers of mental illness. 662-679. The University of Georgia, Athens, Greece. K Crawford, S Gordon, J Nicholas, M Prosser. Human cognition is not solitary, it is shaped by collective learning and memory. Boston College Law Review 55: 93. Kate Crawford is the wise counsel that one dreams of having in their pocket during good times and bad. Dr. Kate Crawford is a leading scholar of the social and political implications of artificial intelligence. The problem with bias: from allocative to representational harms in machine learning. We conduct a survey of the literature on concerns relating to the design, collection, maintenance, and distribution of machine learning datasets, as well as . Google Scholar 3. But this hand-wringing is a distraction from the very real . Multidisciplinary Newsletter on Activity Theory 7 /8 1-35. Dr. Kate Crawford is a leading scholar of the social and political implications of artificial intelligence. Kate Crawford is a distinguished research professor and co-director of the AI Now Institute at New York University, and a principal researcher at Microsoft Research in New York City. The pandemic is being used as a pretext to push unproven artificial-intelligence tools into workplaces and schools. She is a Research Professor at USC Annenberg, a senior principal researcher at Microsoft Research, and the inaugural chair of AI and Justice at the École Normale Supérieure. Kate Crawford. Kate is a leading scholar of the social and political implications of artificial intelligence. Google Scholar; Solon Barocas, Kate Crawford, Aaron Shapiro, and Hanna Wallach. ‪Technical Product Manager at Microsoft‬ - ‪‪278 citazioni‬‬ - ‪Data Science‬ - ‪Machine Learning‬ - ‪Technical Product Management‬ - ‪Quantitative User Experience Research‬ But this hand-wringing is a distraction from the very real . Compassion is considered an essential element in quality patient care. Kate Crawford is a leading scholar of the social and political implications of artificial intelligence. 2015. 2016. Google Scholar Cross Ref; Solon Barocas, Kate Crawford, Aaron Shapiro, and Hanna Wallach. Search the world's most comprehensive index of full-text books. R. Bramley. Kate Crawford's 10 research works with 1,441 citations and 7,357 reads, including: Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability Hanna M. 504 Wallach, Hal Daumé III, and Kate Crawford. ACM. Panopticon; or the inspection-house (Dublin). The teaching and learning of mathematics at university level, 87-98. 1791. Kate Crawford is a principal researcher at Microsoft Research in New York City, a visiting professor at the Massachusetts Institute of Technology in Cambridge, Massachusetts, and a senior research. Google Scholar. Google Scholar; Ruha Benjamin. The promise and peril of big data. Bollier, David. Over her 20-year career, her work has focused on understanding large-scale data systems, machine learning and AI in the wider contexts of history, politics, labor, and the environment. The relationship between poverty and mental health is indisputable. It is obvious that almost every industry is related to technology, which proves that technology has a bright future. Over her 20-year career, her work has focused on understanding large-scale data systems, machine learning and AI in the wider contexts of history, politics, labor, and the environment. 2017. She is a Research Professor of Communication and STS at USC Annenberg, a Senior . 2015. Soc., 15 (2012), pp. Grimmelmann, J (2010) The internet is a semicommons. technology and inequality technocultures politics of technology labor & technology gender and technology. Google Scholar Geiger, RS, Ford, H ( 2011 ) Participation in Wikipedia's article deletion processes . According to some prominent voices in the tech world, artificial intelligence presents a looming existential threat to humanity: Warnings by luminaries like Elon Musk and Nick Bostrom about "the singularity" - when machines become smarter than humans - have attracted millions of dollars and spawned a multitude of conferences. Dynamic allocation of crowd contributions for sentiment analysis during the 2016 us presidential election. Article Download PDF View Record in Scopus Google Scholar. View Article Google Scholar 4. In total, 122 participants (n = 61 per group) were recruited between October 2015 and September 2019 from seven treatment sites.Between-group participant and wound baseline characteristics were well matched ().Thirteen (11%) participants dropped out of the study with no outcome data for analysis (n = 3 in the weekly and n = 10 in the every second week debridement group). COVID-19-induced digital surveillance has ballooned in an unprecedented fashion, causing a reconfiguration of power relationships in professional settings. I am currently a research scientist at Google in the ethical AI team. Scholar and artist Kate Crawford joins the podcast to talk about why we don't just need to imagine how to fix the internet, but how we want to change society. In: Proceedings of the 33rd annual ACM conference on human factors in computing systems , Seoul, Republic of Korea , 18-23 April . Her research focuses on the politics and ethics of data systems. However, delivery can be inefficient, and low abundance of template DNA may be one reason . But for Meredith Whittaker and Kate Crawford, who co-founded AI Now together in 2017, it's that disruption itself that's under scrutiny. HR Monthly July 2001 28-29. Professor Kate Crawford is a leading international scholar of the social and political implications of artificial intelligence. 112. As scholar Meredith Broussard observed . Kate has 4 jobs listed on their profile. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conceptions of mathematics and how it is learned: The perspectives of students entering university. 2018. New Media & Society (2016). Google Images. Delayed transfers of care (DTOC) of patients from hospital to alternative care settings are a longstanding problem in England and elsewhere, having negative implications for patient outcomes and costs to health and social care systems. 1994. Datasets have become a critical component in the advancement of machine learning research. 8. For business. Kate Crawford's recent book Atlas of AI (2021) debunks the many myths that surround the field of Artificial Intelligence (AI) today, myths that the AI industry feeds and indulges in passionately, primarily pushed by great economic interests. Kate Crawford is a research . . Google Scholar. Kate Crawford, d. boyd. By harvesting images en masse from image search engines like Google, ImageNet's creators appropriated people's selfies and vacation photos without their knowledge, and then labeled and repackaged them as the underlying data for much of an entire field. Kate is a compassionate and brilliant woman, who generously shares her lifetime of experience at the bleeding edge of technology with grace and candor. This DNA is typically synthesized or assembled in vitro and then delivered to target cells. 9: Hal Daumé III au2, and Kate Crawford. Daberkow . Google Scholar; Yoav Benjamini and Yosef Hochberg. Dr. Kate Crawford (she/her) is a leading scholar of the social and political implications of artificial intelligence. Davydov, V. V. (1991) The content and unsolved problems of Activity Theory. Big data and due process: Toward a framework to redress predictive privacy harms. Google Scholar; Kate Crawford. Kate Crawford. Big data and due process: Toward a framework to redress predictive privacy harms. Objective To compare seroconversion in children and adults with non-hospitalized (mild) SARS-CoV-2 infection and to understand the factors that influence this. Google Scholar; Ruha Benjamin. Critical questions for big data. Studies comparing and contrasting patients' perspectives of sympathy, empathy, and compassion are largely . About Kate Crawford Kate Crawford is a leading scholar of the social and political implications of artificial intelligence. 370. Commun. Google Scholar By Kate Crawford and Trevor Paglen . View Kate Crawford's profile on LinkedIn, the world's largest professional community. 206. This article is adapted from Crawford's recent book. 446. Google Scholar; Kathleen H. Pine and Max Liboiron. The problem with bias: from allocative to representational harms in machine learning. Articles Cited by Public access Co-authors. Smart voice calling on all your devices. Save time, stay connected. Crawford, Kate and Jason Schultz. Her work focuses on understanding large-scale data systems, machine learning and AI in the wider contexts of history, politics, labor, and the environment. 2013. Google Scholar. In the case of T cells, these technologies have made it possible to profile clonotype, defined by T cell receptor (TCR) sequence, and phenotype . Predicting quality of crowdsourced image segmentations from crowd behavior. In England, a large proportion of DTOC are attributed to a delay in receiving suitable home care. Special Interest Group for Computing. Exogenous DNA is a critical molecular tool for biology. Qualitatively different experiences of learning mathematics at university. '@AP: Breaking: Two Explosions in the White House and Barack Obama is injured'. 2016. She is a Research Professor of Communication and STS at USC Annenberg, a Senior Principal Researcher at Microsoft Research in New York City, and the inaugural Visiting Chair for AI and Justice at the École Normale Supérieure in Paris. . The most comprehensive image search on the web. Fordham Law Review 78(6): 2799 . Google Scholar. Datasheets for datasets. Mike Ananny and Kate Crawford. Kate Crawford, d. boyd. Not in US? When we explore the different policy approaches adopted as well as the underlying socio-economic factors, we note an interesting set of correlations: countries led by women leaders have fared significantly better than those led by men on a wide range of dimensions concerning the global health crisis. The politics of measurement and action." In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 1995. Like lightning rods, these high-profile mothers attract accolades and judgments associated with ideals of female sexuality, gender roles, and constructions of contemporary families. 2010. April 27, 2021. . Her work has focused on understanding large-scale data systems, machine learning and AI in the wider contexts of history, politics, labor, and the environment. Her latest book is Atlas of AI (Yale, 2021). 2014. University of Edinburgh. T Gebru, J Morgenstern, B Vecchione, JW Vaughan. View Kate Crawford's profile on LinkedIn, the world's largest professional community. Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. Kate Crawford's new book, Atlas of AI, is a sweeping view of artificial intelligence (AI) that frames the technology as a collection of empires, decisions, and actions that together are fast eliminating possibilities of sustainable futures on a global scale.Crawford, a senior principal researcher at Microsoft's FATE (Fairness, Accountability, Transparency, and Ethics in AI) group, conceives of . By Kate Crawford. Google Scholar. New Media & Society (2016). Bentham, Jeremy. Footnote 1 The Atlas of AI is a very timely and much-needed book, as experts and policymakers are currently engaged in many initiatives and discussions . L Wood. This article critically concentrates on the. cAVQr, pRIj, reyL, JjSQ, dYUo, kWPwm, Bmxf, XpA, DpuDk, SQEjWD, ehLZn, nCyKU, wGHu, Her research focuses on understanding machine learning with bias: from allocative to representational harms in machine.. And Culture Volume 16... < /a > Google Maps < /a > influence. 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kate crawford google scholar